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Such kind of inhibitor is expected not only to hinder physical properties degradation, but also to avoid mechanical properties reduction during corrosion process.
This is due to the reduction of corrosion area as indicated by the surface appearance in Fig. 3 where the corrosion area becomes smaller with the increase of inhibitor concentration.
In order to show the adsorption type of the inhibition process, the data of surface coverage (Ѳ) is plotted against log concentration of inhibitor (C) as can be seen in Fig. 5.
The reduction of mechanical properties becomes smaller when the amount of the TCPE inhibitor increases.
This indicates that the protection layer is not only to reduce surface degradation, but also to avoid the mechanical properties reduction.

The relative amounts of the different phases in the AE alloys, as derived from the XRD data in Figs. 4b and 4d, are given in Table 4.
According to these data, a slightly larger amount of Mg hydroxides (~ 9 wt. %) was formed in S8-AE than in Zn2-AE.
No hydriding was possible, either at 200 / 0.5 MPa or 300 ºC / 3MPa, judging by the XRD data shown in Figs. 6b and 6c, which present the same profile as the non-milled Mg elemental powders (Fig. 6a).
Quantification of the MgH2 phase in the hydrided Mg-base materials (stored in argon), according to the Rietveld analyses of the XRD data.
A lower proportion of Mg hydride was found in the Zn2-AE sample compared to the Zn2 one, as the results from phase quantification of the XRD data indicate (Table 4).

However, acid-base treatment may cause surface damage to basalt fibers, leading to a reduction in their mechanical properties [15].
Performance specifications of KH550 Property name Chemical name Boiling point (℃) Density range (g/cm3) Refractive index (nD25) Molecular formula Data γ-amino propyl triethoxy silane coupling agen 213 0.940-0.950 1.429 H2NCH2CH2CH2Si(OC2H5)3 2.1.3 Silicate Cement In this study, ordinary silicate cement P.O42.5 was procured from China Ninety-Seven Building Materials.
Subsequently, at a concentration of 2.0%, the reduction in fiber fracture elongation becomes even more pronounced.
By analyzing the maximum principal strain and shear strain values at different times for the three specimen groups, we obtained the data presented in Figure 11, depicting the maximum principal strain values.
However, upon adding 0.2% basalt fibers, there is a certain degree of reduction in strain observed in the specimens.

The analysis of the slip data of various dense pastes of rigid particles reveals that the apparent slip layer thickness is related to the particle concentration and the pipe diameter.
According to the measured flow equation (5) to (8), take a set of τω in Figure 4, and get three sets data (350,365,372) of the three diameters.
That is in 1/R and 4v/R coordinate system, get three group data, and each group has three points (1/R,4v/R) of three diameters.
Conclusions Based on the above experimental data and the analysis of curves, we can draw the following conclusions: (1) The wall slip phenomenon exists in the coal slurry flowing in the pipelines
(4)The coal wall slip can produce resistance reduction effect, and is proportional with τω.

is less than the pre-set error;take the reconstructed surface data and the original point cloud data for comparison, more than 94% of the total data points is in the range of permissible, prove that the fitting surface accuracy is qualified.
Analysis of the error sources in reverse engineering In reverse engineering,the error is inevitable,in order to explore the factors which affect the accuracy of the surface reconstruction,it is necessary to analysis the causes of the error.The main sources of error are as follows:(1)the original model error: in the manufacturing process of the entity sample, it existed manufacturing error and the original design dimensions,worse still, for the used sample model,there are wear error and surface roughness error in it,thus can affect the measurement accuracy.(2)measurement error:it related to the methods of measurement,the equipment itself,the skill of operators, the external environment,such as ambient light,vibration,will also cause some impact.(3)data processing error: in the data processing,we process the point cloud data with deletion,hole filling and data reduction, also cause data errors compared to the original data [5].(4)surface reconstruction error and manufacturing error:in surface
Measurement data for Mirrors using the dimensional laser scanner,to obtion the point cloud data, then use Geomagic software for data fitting process, get the reconstructed model and is shown in Figure 1.
Since the point cloud data scanned is placed at random,and the fitting surface models are not in the same coordinate system,so when the two data import Geomagic qualify software together,the data needs to be aligned.By using Best-fit alignment to the completion of alignment,then using 3D Compare command to obtain the comparison of three-dimensional model and as is shown in Figure 2.
Table 2 Error Analysis of the XY plane >=Min data points in the range of 0.312 ~ -0.312 total number of data points,proved that the data points of XY cross section fitted in line with requirements

However, it has as limitations the phenomenon of formation of a polarization layer by concentration, which causes, in the long term, the reduction of permeate flux.
This behavior happens because that increasing of the oil particle size provides a reduction in the specific resistance of the polarization layer, rp, making it more permeable, and thus increasing the permeate flux.
It is observed that an increase in temperature causes a reduction in the system total pressure; this behavior is associated with the reduction of the fluid density and viscosity upon heating, thereby causing a reduction of the feed velocity, and consequently, reducing the pressure exerted by the fluid along the flow.
This promotes a velocity reduction with temperature, and lower velocity gradients in the region near the membrane surface, due to the formation of the polarization layer, which hinders flow.
Wakeham, Standard reference data for the thermal conductivity of water, Journal of Physics and Thermophysics. 33, 3(1977) 925-929

By using the pre-coding technique, the encoder can process data segmentally and can be multiplexed by multiple data coming from different code words, reducing the storage space of payloads and latency.
First, the data in the G.975 compliant framing are mapped into the internal frame.
When 64-bit data comes, one of the two row encoding groups is selected to receive the data and process it immediately.
The wide of the input data and the output data is 64 bit. colresult_in and colresult_out are the column encoding intermediate result.
In the input data, the payload is ‘a’ except the management overhead, and the parity data of input data is replaced by zero.

The flexural modulus indicates there is reduction of elastic modulus values over the submerged period.
The flexural modulus was calculated automatically by Instron 3382 Universial Testing Machine data acquisition software.
However, the reduction values between the highest and the lowest are relatively small, scoring about 7.4% differences.

The obtained numerical results have been compared to experimental literature data and to the numerical outputs of Instantaneous and Standard Gradual Degradation Models.
The obtained numerical results have been compared to experimental literature data and to the numerical outputs of Instantaneous and Standard Gradual Degradation Models.
The obtained numerical results have been compared with literature experimental data [10] and numerical results obtained by using standard instantaneous and gradual degradation models.
Figure 3: (left) investigated circumferenzial meshes and (right) comparison between experimental data and numerical IDM results for H8 and H32 mesh.
It can be appreciated that the energy-based degradation model, clearly mesh independent, shows an excellent agreement with experimental data in terms of ultimate load and a clearly mesh independence.

Based on the Monte Carlo simulated data for 35-400 keV implantation, we determine the nine Dual-Pearson parameters and confirm precise reproduction of profiles of 10 15-1021 cm-3 Al with sufficient smoothness.
An order of magnitude reduction in the amplitude of the data scattering is required for simulating high-voltage devices because the drift layer doping is quite low (< 10 16 cm-3).
Continuous function approximation has thus been used to take a best fit of the data of implanted Al concentration profiles and put those data into a device simulator.
By preparing a table with these energy-dependent parameters and entering the data of the table into the device simulator, the computing time for the Dual-Pearson profiles in Fig. 3 was a few seconds.
Based on the Monte Carlo simulated data, we determined the nine Dual-Pearson parameters and observed precise reproduction of Al concentration profiles with sufficient smoothness.